A Novel and Extensible Remote Sensing Collaboration Platform
Architecture Design and Prototype Implementation
Bibliographic Data
| ID | 22032345 |
|---|---|
| Authors | Wenqi Gao (Zhejiang University), Ninghua Chen (0000-0001-9401-9711, Zhejiang University, corresponding author), Jianyu Chen (0000-0001-5893-2116, Shanghai Jiao Tong University), Bowen Gao (0000-0001-8042-2913, Zhejiang University), Yaochen Xu (Zhejiang University), Xuhua Weng (Zhejiang University), Xinhao Jiang (0000-0002-4239-1738, Zhejiang University) |
| Year | 2024 |
| Volume | 13 |
| Issue | 3 |
| Pages | 83 |
| Publication date | 2024-03-08 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi13030083 |
| OpenAlex | W4392588516 |
| Language | EN |
| References cited | 30 |
Geospatial data, especially remote sensing (RS) data, are of significant importance for public services and production activities. Expertise is critical in processing raw data, generating geospatial information, and acquiring domain knowledge and other remote sensing applications. However, existing geospatial service platforms are more oriented towards the professional users in the implementation process and final application. Building appropriate geographic applications for non-professionals remains a challenge. In this study, a geospatial data service architecture is designed that links desktop geographic information system (GIS) software and cloud-based platforms to construct an efficient user collaboration platform. Based on the scalability of the platform, four web apps with different themes are developed. Data in the fields of ecology, oceanography, and geology are uploaded to the platform by the users. In this pilot phase, the gap between non-specialized users and experts is successfully bridged, demonstrating the platform’s powerful interactivity and visualization. The paper finally evaluates the capability of building spatial data infrastructures (SDI) based on GeoNode and discusses the current limitations. The support for three-dimensional data, the improvement of metadata creation and management, and the fostering of an open geo-community are the next steps
Computer architecture · Embedded system · Extensibility · Geography · Human–computer interaction · Operating system · Software engineering · Systems engineering · Advanced Computational Techniques and Applications · Computer Science · Engineering · Geographic Information Systems Studies · Remote Sensing in Agriculture · Architecture
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| Highly cited | No |
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